FLAGSHIP COMPANY TRAINING
AI & Machine Learning
This hands-on course is designed for companies that want to develop internal AI expertise. Participants gain practical skills in machine learning and deep learning through real-world projects, enabling them to build intelligent systems and drive innovation. Ideal for organizations ready to invest in future-ready talent and apply AI to real business challenges.
UNLOCK THE POWER OF DEEP LEARNING FOR YOUR ORGANIZATION
Course Setup
We understand that every organization is different. That’s why our training is designed to be adaptable to your schedule, team size, and level of expertise.
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Available as half-day or full-day sessions
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Choose from 1-day to multi-day formats depending on depth and goals
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Content can be adjusted based on your team’s prior knowledge and focus areas
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Delivered on-site, remotely, or in hybrid format
Interested in bringing this training to your organization?
Get in touch to request a quote or schedule a meeting so we can tailor the course to your specific needs and objectives.
Foundational Concepts:
Master the Basics of Machine Learning
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Understand the fundamentals of machine learning, including supervised, unsupervised, and reinforcement learning.
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Learn data preprocessing techniques such as cleaning, encoding, and handling missing values.
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Build regression models to predict continuous outcomes (e.g., laptop prices) and classification models to solve binary/multi-class problems (e.g., fraud detection).
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Evaluate models using metrics like accuracy, precision, recall, F1-score, MSE, and RMSE.
Neural Networks & Deep Learning:
Dive into Computer Vision
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Gain hands-on experience with neural networks, including convolutional neural networks (CNNs) for image analysis.
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Explore transfer learning with pre-trained models like ResNet and EfficientNet to tackle real-world computer vision tasks.
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Develop a deep learning model for real-time driver distraction detection to improve road safety.
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Deploy your models to the cloud using platforms like AWS, or Google Cloud Platform and tools like Docker, and FastAPI.
Advanced Deep Learning:
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Gain a solid understanding of Natural Language Processing (NLP), Large Language Models (LLMs), and Reinforcement Learning concepts, preparing you to tackle more advanced topics with confidence.
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